A medical image fusion method combining wavelet transform domain and space domain

A wavelet transform, medical image technology, applied in the field of image processing, can solve problems such as insufficient resolution, inability to distinguish and reflect metabolism, etc.

Active Publication Date: 2018-09-28
XIAMEN UNIV OF TECH
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Problems solved by technology

Anatomical images are characterized by being able to display the structure of internal organs or tissues of the human body under high-resolution conditions, but cannot distinguish and reflect information on metabolism, including Magnetic Resonance Imaging (MRI) , computerized tomography (Computerized Tomography, CT) and B-ultrasound, etc.; functional images include positron emission tomography (Positron Emission Tomography, PET) and single photon emission computed tomography (Single Photon Emission Computed Tomography, SPECT) etc. This type of medical image can effectively extract information about metabolism in the human body, but its biggest shortcoming is insufficient resolution. Please refer to Gao Shangkai Medical Imaging System [M]. Tsinghua University Press, 2011:1-4, No. 11-24 pages

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  • A medical image fusion method combining wavelet transform domain and space domain
  • A medical image fusion method combining wavelet transform domain and space domain
  • A medical image fusion method combining wavelet transform domain and space domain

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Embodiment Construction

[0031] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0032] The invention provides a medical image fusion method combining wavelet transform domain and space domain, which combines figure 1 The dimensions of the cranial brain shown are 256×256×3 PET images and figure 2 The MRI images with dimensions shown as 256×256 are fused to obtain image 3 The image shown, wherein, the MRI image grayscale image only contains the brightness channel, and the PET image is a color image, including three color channels of red, green and blue; combined Figure 4 , the method includes the steps of:

[0033] Step 1, convert color space: convert the three color channels of red, green and blue in the RGB color space of the PET image into three channels of hue, saturation and brightness in the HSI color space, and these three channels use H, S and I indicate that the conversion formula is as follows:

[0034] ...

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Abstract

The invention discloses a medical image fusion method combined with a wavelet transformation domain and a spatial domain. The method comprises the following steps of: firstly transforming an RGB color space of a PET image into an HSI color space, and then extracting function information of each channel in the HSI color space; fusing a wavelet decomposition coefficient of a brightness channel extracted in the PET image with a wavelet decomposition coefficient of an MRI image, then carrying out wavelet inverse transformation, and firstly obtaining a fused brightness channel in the wavelet transformation domain; and extracting the function information of the fused brightness channel again, carrying out fusion with the MRI image with anatomic information in the space domain, obtaining a fused brightness channel in the spatial domain for a second time, finally transforming a new HSI color space into the RGB color space, and obtaining a final fused image. By adopting the image fusion method, the function image of the PET and the anatomic information of the MRI are fused in a single image, the clearness of the image is simultaneously ensured, and edges are clean.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a fusion method of medical images, in particular to a method for fusion of MRI images and PET images. Background technique [0002] Existing medical images can be divided into two categories: anatomical images and functional images. Anatomical images are characterized by being able to display the structure of internal organs or tissues of the human body under high-resolution conditions, but cannot distinguish and reflect information on metabolism, including Magnetic Resonance Imaging (MRI) , computerized tomography (Computerized Tomography, CT) and B-ultrasound, etc.; functional images include positron emission tomography (Positron Emission Tomography, PET) and single photon emission computed tomography (Single Photon Emission Computed Tomography, SPECT) etc. This type of medical image can effectively extract information about metabolism in the human body, but its biggest...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/003G06T2207/10024G06T2207/20064G06T2207/30016
Inventor 郭迪
Owner XIAMEN UNIV OF TECH
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